corporate business

e-commerce shopping

healthcare medical

finance banking

travel tourism

Korean

Domain 'liable-white-gadjilfvdl-tq8jn0l1eg.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'liable-white-gadjilfvdl-tq8jn0l1eg'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

html/9e/3b/9e3b5064-31df-4782-b3b2-0a8defd5aad1.html.gz

require-trusted-types-for 'script'; report-uri https://csp.withgoogle.com/csp/apps-themes

attachment; filename="202602-1.csv"; filename*=UTF-8''202602%20%EB%8C%80%EC%8B%9C%EB%B3%B4%EB%93%9C%20-%20%EC%8B%9C%ED%8A%B81.csv

require-trusted-types-for 'script';report-uri https://csp.withgoogle.com/csp/docs-tt, frame-ancestors 'self' https://docs.google.com, base-uri 'self';object-src 'self';report-uri https://doc-0k-4s-sheets.googleusercontent.com/spreadsheets/cspreport;script-src 'report-sample' 'nonce-pkIiok1oB4q3agrwYe4gmw' 'unsafe-inline' 'strict-dynamic' https: http: 'unsafe-eval';worker-src 'self' blob:

48444a82d4edcb5bec0f1965faacdde18d9c17db3063d042abada2f705c9f54a

4211cef12278ebebf5f35309ea03a0c938c2c01b0fe8d6e046905da4280d466b

viewport

html/9e/3b/9e3b5064-31df-4782-b3b2-0a8defd5aad1_nodriver.html.gz

비용 분석 대시보드

Prudence Malinki

MarkMonitor Inc.

edgeone.app

IRT-SG-ACE

ACE administrator

ACE-SG


// Data and state
const SPREADSHEET_URL = 'https://docs.google.com/spreadsheets/d/1Ml6M9s1TIc2lV7ehIaTSIdns8rVmq916NJwntMiiRXM/export?format=csv';
let allExpenses = [];
let categoryChartInstance = null;
let dailyChartInstance = null;
let currentFilter = 'all'; // all, weekday, weekend

// Fallback Data
const rawFallbackCSV = `승인일자,승인시각,가맹점명,승인금액(원)
2026.02.28,19:48:02,씨유(CU 천안승천점,"39,150"
2026.02.28,19:40:28,아우내 생고기,"76,000"
2026.02.28,16:39:08,(주)소노인터내셔널 천안지점,"17,600"
2026.02.28,13:46:52,오후,"15,500"
2026.02.28,13:28:10,청화집순대,"41,000"
2026.02.27,17:46:53,네이버페이 네이버,"22,400"
2026.02.27,1:02:28,카카오T일반택시(법인)_4,"1,600"
2026.02.27,1:02:26,카카오T일반택시_0,"20,000"
2026.02.27,0:39:16,카카오T택시_가승인,"22,100"
2026.02.27,0:39:16,카카오T택시_가승인,"-22,100"
2026.02.27,0:13:05,카카오_택시_선승인,"18,700"
2026.02.27,0:13:05,카카오_택시_선승인,"-18,700"
2026.02.26,11:24:55,롯데몰 수지점 큐슈울트라아멘,"9,900"
2026.02.25,14:16:04,이스턴웰스자판기,300
2026.02.23,12:47:40,이스턴웰스자판기,300
2026.02.23,12:45:22,판교365약국,"9,500"
2026.02.23,1:01:01,바로알림서비스 02월이용료,300
2026.02.22,16:52:59,GS25수지원희점,"7,000"
2026.02.22,16:49:10,커마헤어,"17,000"
2026.02.22,0:05:55,주식회사 여기어때컴퍼니,"184,195"
2026.02.21,17:43:58,무인양품(주) 수지점,"11,300"
2026.02.21,15:50:09,이디야커피 우면동점,"4,700"
2026.02.21,15:16:05,이디야커피 우면동점,"10,600"
2026.02.21,12:55:19,청년다방 수지상현점,"2,000"
2026.02.21,12:38:00,청년다방 수지상현점,"2,000"
2026.02.20,18:59:30,느티나무마트,"39,600"
2026.02.19,10:25:26,이스턴웰스자판기,300
2026.02.18,14:25:17,주식회사 코페이,"2,000"
2026.02.18,12:58:52,주식회사 코페이,"12,900"
2026.02.18,12:32:34,주식회사 코페이,"48,800"
2026.02.18,12:31:08,주식회사 코페이,"51,900"
2026.02.18,12:31:08,주식회사 코페이,"-51,900"
2026.02.18,8:17:48,주식회사 컬리페이,"1,900"
2026.02.16,14:40:34,동백시티주유소,"30,000"
2026.02.16,13:20:53,차이란,"37,000"
2026.02.15,21:18:14,네이버페이,"27,500"
2026.02.15,21:18:14,네이버페이,"-27,500"
2026.02.15,13:40:57,서일석유주식회사기흥서일주유소,"50,000"
2026.02.14,13:25:43,파리바게뜨 카페 서초역점,"45,900"
2026.02.13,18:26:53,(주)이마트 수지점,"157,370"
2026.02.11,13:03:17,스타벅스_주문,"2,700"
2026.02.07,12:04:37,아르빈스,"16,500"
2026.02.07,11:04:28,스매쉬드매스,"24,000"
2026.02.07,10:30:07,에이치디현대오일뱅크(주)직영 청명현대셀프주유소,"30,000"
2026.02.06,13:29:49,주식회사 마이아트뮤지엄,"36,000"
2026.02.04,10:10:46,이스턴웰스자판기,600
2026.02.03,13:00:31,(주)마이리얼트립,"20,000"
2026.02.03,13:00:06,아시아나항공(BSP),"1,446,300"
2026.02.03,13:00:06,아시아나항공(BSP),"1,291,800"
2026.02.03,11:35:04,하나투어,"60,000"
2026.02.01,17:52:32,네이버페이 네이버,"35,000"`;

const CATEGORIES = {
    FOOD: { name: '🍽️ 식비', color: '#ff7b72', keys: ['생고기', '순대', '아멘', '다방', '차이란', '아르빈스', '오후', '스매쉬드매스'] },
    CAFE: { name: '☕ 카페/베이커리', color: '#d2a8ff', keys: ['커피', '스타벅스', '파리바게뜨'] },
    MART: { name: '🛒 마트/편의점', color: '#79c0ff', keys: ['씨유', 'CU', '무인양품', 'GS25', '마트', '이마트'] },
    TRANSPORT: { name: '🚗 주유/교통', color: '#a5d6ff', keys: ['카카오', '주유', '석유', '오일뱅크'] },
    TRAVEL: { name: '✈️ 여행/숙박', color: '#ffab70', keys: ['소노인터내셔널', '여기어때', '아시아나항공', '하나투어', '마이리얼트립'] },
    ONLINE: { name: '💳 온라인/페이', color: '#3fb950', keys: ['네이버페이', '코페이', '컬리페이'] },
    OTHER: { name: '📦 기타', color: '#8b949e', keys: [] }
};

// Initialize app
document.addEventListener('DOMContentLoaded', init);

async function init() {
    setupFilters();
    try {
        const response = await fetch(SPREADSHEET_URL);
        if(!response.ok) throw new Error('Network error');
        const csvText = await response.text();
        parseData(csvText);
    } catch (e) {
        console.warn('Failed to fetch live spreadsheet, using fallback data.', e);
        parseData(rawFallbackCSV);
    }
    updateDashboard();
}

function parseCSVLine(text) {
    const result = [];
    let cur = '', inQuotes = false;
    for(let i=0; i<text.length; i++) {
        if(text[i] === '"') inQuotes = !inQuotes;
        else if(text[i] === ',' && !inQuotes) {
            result.push(cur);
            cur = '';
        } else {
            cur += text[i];
        }
    }
    result.push(cur);
    return result.map(s => s.trim());
}

function parseData(csvText) {
    const lines = csvText.trim().split('\n');
    allExpenses = [];
    
    // Skip header and process
    for(let i=1; i<lines.length; i++) {
        if(!lines[i]) continue;
        const row = parseCSVLine(lines[i]);
        if(row.length >= 4) {
            const dateStr = row[0];
            const timeStr = row[1];
            const merchant = row[2];
            const amtStr = row[3].replace(/,/g, '').replace(/"/g, '');
            const amount = parseInt(amtStr, 10);
            
            // Skip negative amounts (refunds)
            if(isNaN(amount) || amount <= 0) continue;

            const jsDate = new Date(dateStr.replace(/\./g, '-'));
            const dayOfWeek = jsDate.getDay(); // 0: Sun, 6: Sat
            const isWeekend = dayOfWeek === 0 || dayOfWeek === 6;
            
            const category = categorizeMerchant(merchant);

            allExpenses.push({
                date: dateStr,
                time: timeStr,
                merchant: merchant,
                amount: amount,
                category: category,
                isWeekend: isWeekend,
                dayOfWeekStr: ['일', '월', '화', '수', '목', '금', '토'][dayOfWeek]
            });
        }
    }
    // Sort by date descending
    allExpenses.sort((a,b) => new Date(b.date.replace(/\./g, '-')) - new Date(a.date.replace(/\./g, '-')));
}

function categorizeMerchant(name) {
    for (const key in CATEGORIES) {
        if (key === 'OTHER') continue;
        const keywords = CATEGORIES[key].keys;
        if (keywords.some(kw => name.includes(kw))) {
            return CATEGORIES[key];
        }
    }
    return CATEGORIES.OTHER;
}

function setupFilters() {
    const btns = document.querySelectorAll('.filter-btn');
    btns.forEach(btn => {
        btn.addEventListener('click', (e) => {
            btns.forEach(b => b.classList.remove('active'));
            e.target.classList.add('active');
            currentFilter = e.target.dataset.filter;
            updateDashboard();
        });
    });
}

function updateDashboard() {
    const filteredData = allExpenses.filter(item => {
        if(currentFilter === 'weekday') return !item.isWeekend;
        if(currentFilter === 'weekend') return item.isWeekend;
        return true;
    });

    // Overview Stats
    const totalAmount = filteredData.reduce((sum, item) => sum + item.amount, 0);
    document.getElementById('totalExpense').textContent = totalAmount.toLocaleString() + ' 원';
    document.getElementById('totalCount').textContent = filteredData.length + ' 건';

    // Group by category
    const catMap = {};
    filteredData.forEach(item => {
        catMap[item.category.name] = (catMap[item.category.name] || 0) + item.amount;
    });

    let topCat = '-';
    let maxAmt = 0;
    for(const [cat, amt] of Object.entries(catMap)) {
        if(amt > maxAmt) { maxAmt = amt; topCat = cat; }
    }
    document.getElementById('topCategory').textContent = topCat;

    // Daily Stats
    const dailyMap = {};
    filteredData.forEach(item => {
        dailyMap[item.date] = (dailyMap[item.date] || 0) + item.amount;
    });
    
    // Sort dates
    const sortedDates = Object.keys(dailyMap).sort((a,b) => new Date(a.replace(/\./g, '-')) - new Date(b.replace(/\./g, '-')));
    const dailyLabels = sortedDates;
    const dailyData = sortedDates.map(d => dailyMap[d]);

    renderCharts(catMap, dailyLabels, dailyData);
    renderTable(filteredData);
}

function renderCharts(catMap, dailyLabels, dailyData) {
    Chart.defaults.color = '#7d8590';
    Chart.defaults.font.family = 'Inter';

    // Colors
    const labels = Object.keys(catMap);
    const data = Object.values(catMap);
    const bgColors = labels.map(l => {
        const entry = Object.values(CATEGORIES).find(c => c.name === l);
        return entry ? entry.color : '#8b949e';
    });

    // Category Doughnut Chart
    const ctxCat = document.getElementById('categoryChart').getContext('2d');
    if (categoryChartInstance) categoryChartInstance.destroy();
    categoryChartInstance = new Chart(ctxCat, {
        type: 'doughnut',
        data: {
            labels: labels,
            datasets: [{
                data: data,
                backgroundColor: bgColors,
                borderWidth: 0,
                hoverOffset: 4
            }]
        },
        options: {
            responsive: true,
            maintainAspectRatio: false,
            plugins: {
                legend: { position: 'right', labels: { color: '#e6edf3' } }
            }
        }
    });

    // Daily Bar Chart
    const ctxDaily = document.getElementById('dailyChart').getContext('2d');
    if (dailyChartInstance) dailyChartInstance.destroy();
    dailyChartInstance = new Chart(ctxDaily, {
        type: 'bar',
        data: {
            labels: dailyLabels,
            datasets: [{
                label: '지출 금액',
                data: dailyData,
                backgroundColor: '#58a6ff',
                borderRadius: 4
            }]
        },
        options: {
            responsive: true,
            maintainAspectRatio: false,
            scales: {
                y: { beginAtZero: true, grid: { color: 'rgba(255,255,255,0.05)' } },
                x: { grid: { display: false } }
            },
            plugins: {
                legend: { display: false }
            }
        }
    });
}

function renderTable(data) {
    const tbody = document.querySelector('#expenseTable tbody');
    tbody.innerHTML = '';
    
    data.forEach(item => {
        const tr = document.createElement('tr');
        const badgeBg = item.category.color + '33'; // low opacity background
        
        tr.innerHTML = `
            <td>${item.date}</td>
            <td>${item.dayOfWeekStr}</td>
            <td>${item.time}</td>
            <td><strong>${item.merchant}</strong></td>
            <td><span class="cat-badge" style="background-color: ${badgeBg}; color: ${item.category.color}">${item.category.name}</span></td>
            <td class="amount-positive">${item.amount.toLocaleString()}</td>
        `;
        tbody.appendChild(tr);
    });
}
    

jsDelivr

✅ Low Risk - https://liable-white-gadjilfvdl-tq8jn0l1eg.edgeone.app/

Requests	IP Address	Location	AS Autonomous System
2	151.101.129.229	United States	AS15169
2	172.217.16.170	United States	AS139341
2	142.251.143.110	United States	AS13335
2	43.152.26.58	Singapore	AS139341ACE
2	142.250.186.67	United States	Unknown
10	5	-	-

Security Scan Report: liable-white-gadjilfvdl-tq8jn0l1eg.edgeone.app

Summary

AI Security Verdict

Safe Website

Safety Factors

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History